Sentence examples for are simple to interpret from inspiring English sources

The phrase "are simple to interpret" is correct and usable in written English.
You can use it when describing something that is easy to understand or analyze, often in the context of data, instructions, or information.
Example: "The results of the experiment are simple to interpret, making it easier for the team to draw conclusions."
Alternatives: "are easy to understand" or "are straightforward to analyze."

Exact(5)

Correlations are simple to interpret and to compare to each other because of their normalized range.

We select these classes because they are simple to interpret and broadly applicable across regions.

Our final classifiers are simple to interpret and they can make prediction on an individual basis with an individualized confidence level.

Each variable was introduced in the model in units that are clinically intuitive so that the odds ratio and regression estimates generated are simple to interpret.

The formula is straightforward and the results are simple to interpret, but must be viewed with caution, because the analysis is only valid in the small region around a particular point [ 11, 12, 14].

Similar(55)

Furthermore varimax score models in terms of extraction medium compositions are simpler to interpret.

VolSurf+ and GRIND descriptors extract the information present in MIFs calculated by GRID: the first are simpler to interpret and generally applied to ADME-Tox topics, whereas the latter are more sophisticated and thus more suited for pharmacodynamics events.

By reducing and summarizing the number of non-zero elements of the loading vector, the loadings are simpler to interpret.

It is worth emphasizing that, qualitatively, the solid-state NMR results are simpler to interpret than the processed LC/MS data.

Measures of patients' experience - which comprise patients' reports of what happened in specific aspects of the delivery of care - are simpler to interpret and act upon than measures of satisfaction [ 7].

The measure is simple to interpret, has clinical and public health relevance, and is a natural preservation-of-effect criterion for assessing statistical non-inferiority.

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